Week |
Date |
Topic |
Teaching Activities and Homework |
|
1 |
2/20 |
Course overview |
|
2 |
2/27 |
R Basics: Data Types, Data Structure (Vectors, Matrices) |
In-class homework |
3 |
3/6 |
Quarto, Descriptive Statistics, Data Structure (dataframe, list), Control Flow, Built-in datasets |
In-class discussion; In-class homework |
4 |
3/13 |
Build your own functions |
In-class homework |
5 |
3/20 |
Data Visualization |
In-class discussion; In-class homework |
6 |
3/27 |
Data Manipulation |
In-class discussion; In-class homework |
7 |
4/3 |
No Class (Holiday) |
8 |
4/10 |
Midterm Exam |
9 |
4/17 |
Project Presentation (I) |
10 |
4/24 |
Probability, Statisitcal Tests, Regression |
In-class homework |
11 |
5/1 |
Machine Learning (I) |
In-class discussion; In-class homework |
12 |
5/8 |
Machine Learning (II) |
In-class discussion; In-class homework |
13 |
5/15 |
Forecasting; Invited speaker |
In-class homework |
14 |
5/22 |
Project Presentation (II) |
15 |
5/29 |
Project Presentation (II) |
16 |
6/5 |
No Class (self-study week) |
17 |
6/12 |
Final Exam |
18 |
6/19 |
No Class (self-study week) |